Investigators conducted a study to analyze the association of maternal mortality (MMR) with the Human Development Index (HDI), Gini Index, income per capita, and the Social Vulnerability Index (SVI).The study analyzed MMR and these socioeconomic indicators in the 26 federative units and the Federal District of Brazil in 2017.Crude and adjusted linear regression were performed between maternal mortality and the socioeconomic indicators.They reported the following results from their analyses: MMR and per capita income (? = -150.8; 95% CI: -289.9 to -11.7; r² = 0.17, P=0.035); MMR and SVI (? = 97.7; CI: -12.2 to 207.6; r²=0.12, P = 0.079).

Based on the figure above, in complete sentences, interpret the Pearson Correlation coefficients for panel (a) the Gini index and panel (b) the Human Development Index.

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Using the information provided above, interpret the r² for the Social Vulnerability Index.

NOTE: In these equations, ? is the same as "b" in your lecture notes.

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TO MA CA RO TO BA AIN RJ MG MS AN AM ES AS MO OF SE SMI SP Material martaity (per 180.000 women) SC Matame monally (per 100 000 women] AC PR AL AP AP AR MIG OF AL AS PA (a) 0.4 0.50 0.65 (b) D.70 0.75 0.80 0.85 Gini index Human development index Pearson Correlation: 0.10; p=0.700 Pearson Correlation =-0.44; p-0.021 PA MA PA TO MA RO PI 86 MT CE CH PL SP 10 30 20 40 50 630 29 80 20 103 118 120 CEDE GF Matemel mortality (per 100 000 women Maternal mortality (per 100.080 women) AC AL AS AP AL PR 0.15 0.30 0.30 0.35 0.40 500 1000 1500 2020 2500 Social Vulnerability Index Income per capita (A$) (c) Pearson Correlation = 0.28; p-0.155 (d) Pearson Correlation = -042; p-0.027 Acre (AC). Alagons (AL), Amapa (AP), Amazonas (AM), Bahia (BA), Ceard (CE), Distrito Federal (DF), Espirito Santo ES), Goins (GO), Maranhao (MA), Mato Grosso (MT), Mato Grosso do Sul (MS), Minas Gerais (MG), Para (PA), Paralba (PB), Parana (PR): Pernambuco (PE), Piaui (PI), Rio de Janeiro (RJ). Rio Grande do Norte (RN), Rio Grande do Sul (RS), Rondonia (RO), Roraima (RF), Santa Catarina (SC), Sao Paulo (SP), Sergipe (SE), Tocantins (TO)